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% By Philip Torr 2002 % copyright Microsoft Corp. % so we display an epipolar line from image 1 into image 2 %%%%%%% function torr_display_epipolar(f,ax_handle2,ax_handle3,m3) % (x2 y2 m3)

% This function is used by torr_nonlinG and provides the sum of squared error for a % particular g by converting to F and measuring Sampson's distance. function [sseC] = torr_errg_sse(g, nx1,ny1,

% By Philip Torr 2002 % copyright Microsoft Corp. % % %designed for the good of the world by Philip Torr % copyright Philip Torr and Microsoft Corp 2002 % orthogonal regression see % @article{

% By Philip Torr 2002 % copyright Microsoft Corp. %makes a super quick fit (Torr trick of the trade...) %example given two points we can determine a quick fit to a line as % det [i j k ] %

% By Philip Torr 2002 % copyright Microsoft Corp. %main() m3 = 256; sse2t = 0; % % randn('state',0) % rand('state',0) no_methods = 6; foc = 256; best_method_array = zeros(no_methods,1);

% By Philip Torr 2002 % copyright Microsoft Corp. % % %designed for the good of the world by Philip Torr % copyright Philip Torr and Microsoft Corp 2002 % linear estimation of H % % @article

function e = torr_errfa(fa, x1,y1,x2,y2, no_matches, m3) %disp('estimating error on f') normfa = fa(1) * fa(1) + fa(2) * fa(2) + fa(3) * fa(3) + fa(4) * fa(4); normfa = sqrt(normfa); e =f

% By Philip Torr 2002 % copyright Microsoft Corp. %a script to display the results of the F matrix... %third homogeneous coordinare m3 = 256; %decide display method compare = 0; %choose y

% Many thanks to Kurt Ditzel % Acuity Research for this bug fix... function p = calc_cubic_coefs(f1, f2) % % use symbolic solver % c11 = f1(1); c12 = f1(2); c13 = f1(3); c21 = f1(4);

% By Philip Torr 2002 % copyright Microsoft Corp. % % %designed for the good of the world by Philip Torr % copyright Philip Torr and Microsoft Corp 2002 % linear estimation of H % % @article